Deploying GPT-4o AI Chat app on Azure via Azure AI Services – a step-by-step guide
Are you ready to revolutionize your business with cutting-edge AI technology? Dive into our comprehensive step-by-step guide on deploying a GPT-4o AI Chat app using Azure AI Services. Discover how to harness the power of advanced natural language processing to create interactive, human-like chat experiences. From setting up your Azure account to deploying your AI model and customizing your chat app, this guide covers it all. Unleash the potential of AI in your business and stay ahead of the curve with the latest advancements from Microsoft Azure. Don’t miss out on this opportunity to transform your workflows and elevate customer interactions to new heights!Why should you migrate from OpenAI to Azure OpenAI?
As the field of AI continues to grow, developers are constantly seeking new and innovative ways to integrate it into their work. With the launch ofAzure OpenAI Service, developers now have even more tools at their disposal to take advantage of this powerful technology. Azure OpenAI Service can be used to create chatbots, generate text, translate languages, and write different kinds of creative content. As the platform continues to evolve, developers will be able to use it to build even more powerful and sophisticated applications.Building AI Agent Applications Series - Assembling your AI agent with the Semantic Kernel
In the previous series of articles, we learned about the basic concepts of AI agents and how to use AutoGen or Semantic Kernel combined with the Azure OpenAI Service Assistant API to build AI agent applications. For different scenarios and workflows, powerful tools need to be assembled to support the operation of the AI agent. If you only use your own tool chain in the AI agent framework to solve enterprise workflow, it will be very limited. AutoGen supports defining tool chains through Function Calling, and developers can define different methods to assemble extended business work chains. As mentioned before, Semantic Kernel has good business-based plug-in creation, management and engineering capabilities. Through AutoGen + Semantic Kernel, powerful AI agent solutions can be built.Build an AI Powered Image App – Microsoft Learn Challenge
A new Microsoft Learn challenge module just dropped and it’s a perfect bite-sized project to get a taste for the latest AI technology and how you can start using it in fun and fast ways. In this module, Challenge project - Add image analysis and generation capabilities to your application, you will combine different AI image technology while deploying it to a web app, resulting in a great demo project to show off your skills in an image analysing and image generating app.Leveraging Azure OpenAI Service in the Power Platform
Join Power Platform Advocate, Daniel Laskewitz and Microsoft MVP, Robin Rosengrun as they dive into the world of Azure OpenAI. This can be used in addition to the out of the box capabilities of Copilot and AI Builder to add more generative AI power to your Power Platform solutions. Robin and Daniel will break down how it works and how you can extend your solutions with it.
